On decision making in human-machine networks

Baocheng Geng, Pramod K. Varshney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Human behavior while decision making is quite complex and uncertain. There are fundamental differences between traditional decision making systems based on sensor data and systems where the agents in the decision making process include humans. The modeling and analysis of human-machine collaborative decision making has become an important research area due to the potential applications in a variety of complex autonomous systems. Incorporating human inputs with physical sensors can be advantageous in enhancing situational assessment for certain situations, and at the same time, brings in technical challenges such as how to characterize the human decision making behavior. In this paper, we discuss some aspects of human-machine networks by focusing on three schemes that include collaborative human decision making with random local thresholds, decision fusion in integrated human-machine networks and binary decision making under cognitive biases. In each case, we aim to optimize the system performance based on appropriate modeling of the human behavior. We also provide a summary of current challenges and research directions related to this problem domain.

Original languageEnglish (US)
Title of host publicationProceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages37-45
Number of pages9
ISBN (Electronic)9781728146010
DOIs
StatePublished - Nov 2019
Event16th IEEE International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019 - Monterey, United States
Duration: Nov 4 2019Nov 7 2019

Publication series

NameProceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019

Conference

Conference16th IEEE International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019
CountryUnited States
CityMonterey
Period11/4/1911/7/19

Keywords

  • Distributed detection
  • Human behavioral analysis
  • Human decision making
  • Human-machine networks
  • Multi-modal fusion

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'On decision making in human-machine networks'. Together they form a unique fingerprint.

  • Cite this

    Geng, B., & Varshney, P. K. (2019). On decision making in human-machine networks. In Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019 (pp. 37-45). [9077361] (Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MASS.2019.00014